Abstract
An approach using the adaptive sampling interval for a multi-target tracking system is developed in this paper. Via this technique, the tracking system can scan and grasp the target information more effectively. The key development of this approach is that a data association using the global modeling technique and an adaptive procedure algorithm are design for a multi-target tracking system. A comparison of the difference of the general fixed sampling interval and adaptive sampling interval for a tracking system is made in this paper. According to the simulation results, the adaptive sampling interval algorithm proposed in this paper will enhance radar tracking capability and has more accurate performance.
| Original language | English |
|---|---|
| Pages (from-to) | 33-41 |
| Number of pages | 9 |
| Journal | Journal of Control Systems and Technology |
| Volume | 3 |
| Issue number | 1 |
| Publication status | Published - 1995 Mar 1 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
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Multi-target tracking algorithm using variable sampling rate. / Chung, Yi-Nung; Lin, Ming Tzaw.
In: Journal of Control Systems and Technology, Vol. 3, No. 1, 01.03.1995, p. 33-41.Research output: Contribution to journal › Article
TY - JOUR
T1 - Multi-target tracking algorithm using variable sampling rate
AU - Chung, Yi-Nung
AU - Lin, Ming Tzaw
PY - 1995/3/1
Y1 - 1995/3/1
N2 - An approach using the adaptive sampling interval for a multi-target tracking system is developed in this paper. Via this technique, the tracking system can scan and grasp the target information more effectively. The key development of this approach is that a data association using the global modeling technique and an adaptive procedure algorithm are design for a multi-target tracking system. A comparison of the difference of the general fixed sampling interval and adaptive sampling interval for a tracking system is made in this paper. According to the simulation results, the adaptive sampling interval algorithm proposed in this paper will enhance radar tracking capability and has more accurate performance.
AB - An approach using the adaptive sampling interval for a multi-target tracking system is developed in this paper. Via this technique, the tracking system can scan and grasp the target information more effectively. The key development of this approach is that a data association using the global modeling technique and an adaptive procedure algorithm are design for a multi-target tracking system. A comparison of the difference of the general fixed sampling interval and adaptive sampling interval for a tracking system is made in this paper. According to the simulation results, the adaptive sampling interval algorithm proposed in this paper will enhance radar tracking capability and has more accurate performance.
UR - http://www.scopus.com/inward/record.url?scp=0029260924&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0029260924&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0029260924
VL - 3
SP - 33
EP - 41
JO - Asian Journal of Control
JF - Asian Journal of Control
SN - 1561-8625
IS - 1
ER -